Senior AI Engineer

Diverse-Lynx; Aguadilla (PR); On-site; USD 68,880 - 75,768; Full time

Job summary

Diverse Lynx LLC is seeking a Senior AI Engineer to design, develop, and deploy Agentic AI solutions that reason, plan, act, and learn across enterprise workflows. You will build autonomous, multi-agent systems and integrate LLMs with enterprise APIs and tools.

Responsibilities include architecting end-to-end AI solutions, enabling scalability and security, and collaborating with cloud, data, and MLOps teams.

Qualifications

• 8–12+ years of software/AI engineering experience
• 3+ years hands-on GenAI and emergent Agentic AI systems
• Experience delivering production-grade AI solutions in enterprise environments
• Bachelor’s or Master’s degree in CS, AI, Data Science, or related field

Responsibilities

• Design and build Agentic AI systems including planning, reasoning, task execution, memory, and feedback loops
• Develop multi-agent architectures (task agents, reasoning agents, tool-calling agents, orchestration agents)
• Define end-to-end AI solution architecture from data ingestion to inference and observability
• Embed Responsible AI guardrails including governance, explainability, auditability, and compliance
• Mentor junior engineers and contribute to AI engineering standards and best practices

Skills

Python

AI engineering

LangGraph

LangChain

LlamaIndex

AutoGen

CrewAI

OpenAI

Education

Bachelor’s or Master’s in CS/AI

Tools

Pinecone

FAISS

Weaviate

Chroma

Azure OpenAI

Job description

Bill Rate $50 - $55

Location: Aguadilla, Puerto Rico

Duration: 6+ months

Role Descriptions: Role Summary

We are seeking a Senior AI Engineer with deep hands‑on experience in designing, developing, and deploying Agentic AI solutions. The role focuses on building autonomous, multi‑agent systems that reason, plan, act, and learn across complex enterprise workflows. You will work closely with business, data, and platform teams to deliver scalable, secure, and production‑grade Agentic AI platforms and use cases.

Key Responsibilities

Agentic AI & GenAI Development

• Design and build Agentic AI systems including planning, reasoning, task execution, memory, and feedback loops
• Develop multi‑agent architectures (task agents, reasoning agents, tool‑calling agents, orchestration agents)
• Implement RAG, Knowledge Graph, and Memory‑based AI patterns for enterprise use cases
• Integrate LLMs with enterprise systems, APIs, tools, and workflows

Architecture & Engineering

• Define end‑to‑end AI solution architecture from data ingestion to inference and observability
• Build reusable AI services, agent frameworks, and orchestration layers
• Ensure scalability, resilience, performance, and security of AI solutions
• Collaborate with cloud, data, and MLOps teams to productionize solutions
• Define agent evaluation metrics (accuracy, autonomy, cost, latency, safety)
• Embed Responsible AI guardrails including governance, explainability, auditability, and compliance

Stakeholder Collaboration & Leadership

• Work with product owners, domain SMEs, and architects to translate business problems into AI solutions
• Mentor junior engineers and contribute to AI engineering standards and best practices
• Support client discussions, solution walkthroughs, and technical decision‑making

Required Skills & Experience

Strong proficiency in Python (mandatory)

Core Technical Skills

• Hands‑on experience with Agentic AI frameworks (e.g., LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or equivalent)
• Experience with LLMs (OpenAI, Azure OpenAI, Anthropic, open‑source models)
• Expertise in RAG, embeddings, vector databases, and prompt engineering
• Experience building multi‑agent orchestration, tool calling, and workflow automation

Data & Platform Skills

• Experience with vector databases (Pinecone, FAISS, Weaviate, Chroma, etc.)
• Knowledge of knowledge graphs, ontologies, and semantic search
• Cloud experience on Azure / AWS / GCP
• Familiarity with APIs, microservices, event‑driven architectures
• Model monitoring, evaluation, and cost optimization

Experience & Qualifications

• 8–12+ years of overall software / AI engineering experience
• 3+ years hands‑on experience in GenAI and emerging Agentic AI systems
• Experience delivering production‑grade AI solutions in enterprise environments
• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

Nice to Have

• Experience in regulated industries (pharma, healthcare, life sciences)
• Exposure to knowledge graphs, scientific/R&D workflows, or enterprise automation

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.